Achieving a seamless guest experience throughout the airport is a complex and labor-intensive process involving many stakeholders, including check-in agents, security and immigration's staff.

Queue lengths and waiting time of sub-processes impact each other and determine the guest experience and ultimately costs. Achieving the right balance is key.

Using a queuing theory simulation model, airline guest service level and staffing levels can be analyzed without committing to expensive, slow and inconvenient real trial experiments. The model allows managers to experiment different scenarios while receiving immediate feedback on guest service level while optimizing the associated labor costs.

With a custom-built performance indicator dashboard, process bottlenecks can be easily identified and corrective actions can be tested before live implementation.

Using complementary, performance reports test cases are analyzed in-depth and results can be easily shared within the airline and airport organizations.